Simulation of flow in an idealised city using various CFD codes

Goricsán, István; Bálczó, Marton; Balogh, Miklós; Czáder, Károly; Rakai, A.; Tonko, Csilla Maria

doi:10.1504/ijep.2011.038437

Cited by 27 publications

(11 citation statements)

References 7 publications

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“…In [22] validation results according the VDI guideline VDI 3783 / 9 [23] is shown. [24] and [25] used the MUST data set for evaluation, testing with other data sets was performed by [26]. The vegetation model of MISKAM was evaluated by [27] and [28].…”

Section: Numerical Setup 31 the Miskam Modelmentioning

confidence: 99%

Flow and Dispersion Phenomena in a Simplified Urban Square

Bálczó

Lajos

2015

Period. Polytech. Civil Eng.

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Section: Numerical Setup 31 the Miskam Modelmentioning

confidence: 99%

Flow and Dispersion Phenomena in a Simplified Urban Square

Bálczó

Lajos

2015

Period. Polytech. Civil Eng.

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“…The MUST dataset has been used extensively in the formulation and validation of digital models (e.g., Brook et al, 2003;Milliez and Carissimo, 2007;Santiago and Martilli, 2007;Goricsan et al, 2007). While Goricsan et al (2007) compared the windfields generated by WinMISKAM to those measured on site during the MUST campaign, and Milliez and Carissimo (2007) analysed the concentration predictions of the CFD code Mercure Saturne (Archambeau et al, 2004) against MUST observations, no-one has yet compared concentration predictions by WinMISKAM against the MUST data.…”

Section: A C C E P T E D Article In Pressmentioning

confidence: 99%

“…While Goricsan et al (2007) compared the windfields generated by WinMISKAM to those measured on site during the MUST campaign, and Milliez and Carissimo (2007) analysed the concentration predictions of the CFD code Mercure Saturne (Archambeau et al, 2004) against MUST observations, no-one has yet compared concentration predictions by WinMISKAM against the MUST data.…”

Section: A C C E P T E D Article In Pressmentioning

confidence: 99%

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Evaluation of results of a numerical simulation of dispersion in an idealised urban area for emergency response modelling

Donnelly

Lyons

Flassak

2009

Atmospheric Environment

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Donnelly, R.P. , Lyons, T.J. and Flassak, T. (2009) Evaluation of results of a numerical simulation of dispersion in an idealisedThis is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. M A N U S C R I P T A C C E P T E D ARTICLE IN PRESSEvaluation of results of a numerical simulation of dispersion in an idealised urban area for emergency response modelling. AbstractWinMISKAM is evaluated from an emergency response perspective. Comparisons are made between ground level concentrations observed during selected Mock Urban Setting Test (MUST) field trials and predictions generated by the model. The model was driven by 5 minute averaged on-site meteorological data, and used minimum grid spacing of 0.5 m in both the horizontal and vertical. The code was found to perform well, with 46% of all predictions (paired in time and space) and 83% of arc maxima predictions within a factor of two of observed concentrations. The model was found to perform better for neutral cases than stable cases with 27% of stable case predictions and 57% of neutral case predictions within a factor of two when compared in time and space.

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“…The values of FAC2 = 1, NMSE = 0.030 and FB = 0.068 reveal a good fit between computed and experimental data with a slight underestimation. Therefore, the pollutant dispersion is accurately simulated in base to the model acceptance criteria established for NMSE < 1.5 and −0.3 < FB < 0.3 in Chang and Hanna (2005) and as a threshold of the correlation coefficient R > 0.8 in Goricsán et al (2011) (Table 3).…”

Section: Cfd Model Evaluationmentioning

confidence: 99%

CFD modeling of reactive pollutant dispersion in simplified urban configurations with different chemical mechanisms

et al. 2016

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Abstract. An accurate understanding of urban air quality requires considering a coupled behavior between the dispersion of reactive pollutants and atmospheric dynamics. Currently, urban air pollution is mostly dominated by traffic emission, where nitrogen oxides (NO x ) and volatile organic compounds (VOCs) are the primary emitted pollutants. However, modeling reactive pollutants with a large set of chemical reactions, using a computational fluid dynamic (CFD) model, requires a large amount of computational (CPU) time. In this sense, the selection of the chemical reactions needed in different atmospheric conditions becomes essential in finding the best compromise between CPU time and accuracy. The purpose of this work is to assess the differences in NO and NO 2 concentrations by considering three chemical approaches: (a) passive tracers (non-reactive), (b) the NO x -O 3 photostationary state and (c) a reduced complex chemical mechanism based on 23 species and 25 reactions. The appraisal of the effects of chemical reactions focuses on studying the NO and NO 2 dispersion in comparison with the tracer behavior within the street. In turn, the effect of including VOC reactions is also analyzed taking into account several VOC / NO x ratios of traffic emission. Given that the NO and NO 2 dispersion can also be affected by atmospheric conditions, such as wind flow or the background concentration from season-dependent pollutants, in this work the influence of wind speeds and background O 3 concentrations are studied. The results show that the presence of ozone in the street plays an important role in NO and NO 2 concentrations. Therefore, greater differences linked to the chemical approach used are found with higher O 3 concentrations and faster wind speeds. This bears relation to the vertical flux as a function of ambient wind speed since it increases the pollutant exchange between the street and the overlying air. This detailed study allows one to ascertain under which atmospheric conditions the inclusion of chemical reactions are necessary for the study of NO and NO 2 dispersion. The conclusions can be applied to future studies in order to establish the chemical reactions needed in terms of an accurate modeling of NO and NO 2 dispersion and the CPU time required in a real urban area.

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Simulation of flow in an idealised city using various CFD codes

Cited by 27 publications

References 7 publications

Flow and Dispersion Phenomena in a Simplified Urban Square

Flow and Dispersion Phenomena in a Simplified Urban Square

Evaluation of results of a numerical simulation of dispersion in an idealised urban area for emergency response modelling

CFD modeling of reactive pollutant dispersion in simplified urban configurations with different chemical mechanisms

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